| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.75% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2222 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 84.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2222 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "familiar" | | 3 | "silence" | | 4 | "whisper" | | 5 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 288 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 288 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 308 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 73 | | wordCount | 2105 | | uniqueNames | 19 | | maxNameDensity | 1.71 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 3 | | Park | 2 | | Grove | 2 | | November | 1 | | Hammersmith | 1 | | Heartstone | 8 | | Need | 1 | | Silas | 3 | | Golden | 1 | | Empress | 1 | | Eva | 1 | | Tube | 1 | | Aurora | 36 | | Rain | 1 | | Caller | 1 | | Hel | 1 | | Darkness | 3 | | Stone | 3 | | Cold | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Rain" | | 5 | "Darkness" | | 6 | "Stone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Hammersmith" | | 3 | "Golden" | | 4 | "Tube" | | 5 | "Hel" |
| | globalScore | 0.645 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 158 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a coal tucked under her skin" | | 1 | "seemed scattered when she first entered" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.45 | | wordCount | 2221 | | matches | | 0 | "not empty but deep, full of the pressure of somewhere else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 308 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 198 | | mean | 11.22 | | std | 11.41 | | cv | 1.017 | | sampleLengths | | 0 | 18 | | 1 | 40 | | 2 | 4 | | 3 | 55 | | 4 | 7 | | 5 | 11 | | 6 | 38 | | 7 | 10 | | 8 | 24 | | 9 | 3 | | 10 | 36 | | 11 | 6 | | 12 | 4 | | 13 | 6 | | 14 | 8 | | 15 | 21 | | 16 | 11 | | 17 | 7 | | 18 | 23 | | 19 | 6 | | 20 | 12 | | 21 | 22 | | 22 | 19 | | 23 | 23 | | 24 | 8 | | 25 | 9 | | 26 | 4 | | 27 | 6 | | 28 | 45 | | 29 | 7 | | 30 | 5 | | 31 | 30 | | 32 | 5 | | 33 | 23 | | 34 | 4 | | 35 | 5 | | 36 | 31 | | 37 | 6 | | 38 | 5 | | 39 | 5 | | 40 | 6 | | 41 | 1 | | 42 | 6 | | 43 | 1 | | 44 | 2 | | 45 | 11 | | 46 | 6 | | 47 | 43 | | 48 | 3 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 288 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 362 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 308 | | ratio | 0.003 | | matches | | 0 | "Stone, bark, grass, flowers, the dark between every tree—everything tore open with one shriek." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 315 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.022222222222222223 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 308 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 308 | | mean | 7.21 | | std | 4.82 | | cv | 0.669 | | sampleLengths | | 0 | 18 | | 1 | 17 | | 2 | 18 | | 3 | 5 | | 4 | 4 | | 5 | 6 | | 6 | 6 | | 7 | 18 | | 8 | 6 | | 9 | 5 | | 10 | 14 | | 11 | 7 | | 12 | 3 | | 13 | 8 | | 14 | 9 | | 15 | 10 | | 16 | 19 | | 17 | 10 | | 18 | 6 | | 19 | 15 | | 20 | 3 | | 21 | 3 | | 22 | 4 | | 23 | 20 | | 24 | 12 | | 25 | 6 | | 26 | 4 | | 27 | 6 | | 28 | 5 | | 29 | 3 | | 30 | 17 | | 31 | 1 | | 32 | 3 | | 33 | 11 | | 34 | 3 | | 35 | 1 | | 36 | 1 | | 37 | 2 | | 38 | 17 | | 39 | 6 | | 40 | 6 | | 41 | 12 | | 42 | 22 | | 43 | 19 | | 44 | 23 | | 45 | 3 | | 46 | 5 | | 47 | 9 | | 48 | 4 | | 49 | 3 |
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| 44.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.262987012987013 | | totalSentences | 308 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 262 | | matches | | 0 | "Then, three minutes later, another" | | 1 | "Then she had looked down" | | 2 | "Then it bent." | | 3 | "Just a smooth white oval" | | 4 | "Then the right." | | 5 | "Then inside the pocket of" | | 6 | "Even the phone went silent" | | 7 | "Only red light moved in" | | 8 | "Then a text appeared on" |
| | ratio | 0.034 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 67 | | totalSentences | 262 | | matches | | 0 | "Their trunks rose black and" | | 1 | "They should not have survived" | | 2 | "She took her hand from" | | 3 | "It had begun to warm" | | 4 | "It pulsed once." | | 5 | "She had not expected one." | | 6 | "She had typed, Who is" | | 7 | "She had spent twenty minutes" | | 8 | "She turned slowly." | | 9 | "She walked towards the nearest" | | 10 | "Her torch beam jumped over" | | 11 | "They had all sunk into" | | 12 | "Her pulse tapped against the" | | 13 | "She swung the torch towards" | | 14 | "Her pendant jerked against her" | | 15 | "It hung from the chain," | | 16 | "she called, louder now" | | 17 | "It began close to her" | | 18 | "He had held a broken" | | 19 | "He did not hide in" |
| | ratio | 0.256 | |
| 61.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 209 | | totalSentences | 262 | | matches | | 0 | "Aurora slipped through the gap" | | 1 | "The trees stood where Richmond" | | 2 | "Their trunks rose black and" | | 3 | "Wildflowers covered the clearing." | | 4 | "They should not have survived" | | 5 | "Frost filmed the park paths" | | 6 | "Aurora had seen it on" | | 7 | "Here, blue bells drooped beside" | | 8 | "A cluster of red flowers," | | 9 | "She took her hand from" | | 10 | "The pendant rested against her" | | 11 | "It had begun to warm" | | 12 | "Aurora drew the silver chain" | | 13 | "The Heartstone lay in her" | | 14 | "It pulsed once." | | 15 | "The wildflowers moved." | | 16 | "The air in the clearing" | | 17 | "Every flower turned at once," | | 18 | "Aurora closed her fist around" | | 19 | "She had not expected one." |
| | ratio | 0.798 | |
| 76.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 262 | | matches | | 0 | "By the time she crossed" | | 1 | "Now it felt like a" | | 2 | "If you want answers about" | | 3 | "Now she stood in a" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 1 | | matches | | 0 | "Something denser, a black surface that drank the torchlight around its edges." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 34.62% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "the woman breathed (breathe)" |
| | dialogueSentences | 26 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.333 | | effectiveRatio | 0.231 | |